Evaluation method and device of acoustic echo cancellation algorithm and terminal equipment

Abstract

The invention discloses an evaluation method and device of an acoustic echo cancellation algorithm, terminal equipment and a storage medium, and the method comprises the steps: obtaining a near-end voice signal corresponding to a to-be-tested terminal, obtaining a far-end voice signal corresponding to a reference terminal, and obtaining an echo cancellation signal corresponding to the near-end voice signal; obtaining a first evaluation parameter based on the far-end voice signal and the echo cancellation signal, obtaining a second evaluation parameter based on the near-end voice signal, and evaluating the echo cancellation effect of the to-be-tested terminal based on the first evaluation parameter and the second evaluation parameter. According to the method, the echo cancellation effect ofthe to-be-tested terminal can be objectively and accurately evaluated through the first evaluation parameter and the second evaluation parameter.

Description

technical field [0001] The present application relates to the technical field of communication, and more specifically, to an evaluation method, device, terminal equipment and storage medium of an acoustic echo cancellation algorithm. Background technique [0002] Acoustic echo refers to the sound played by the speaker of the far-end device (or near-end device), which is picked up by the microphone of the far-end device (or near-end device), and then transmitted to the near-end device (or far-end device). The sound played from the speaker of the device (or remote device). The presence of acoustic echo seriously affects the quality of voice calls and reduces user experience. As a way, echo cancellation can be achieved by adding an automatic echo cancellation (Automatic Echo Cancellation, AEC) function algorithm at the far end. However, in the process of echo cancellation, it mainly relies on subjective listening to confirm the effect of echo cancellation , and the difference...

AI Technical Summary

Problems solved by technology

The presence of acoustic echo seriously affects the quality of voice calls and reduces user experience

As a way, echo cancellation can be achieved by adding an automatic echo cancellation (Automatic Echo Cancellation, AEC) function algorithm at the far end. However, in the process of echo cancellation, it mainly relies on subjective listening to confirm the effect of echo cancellation , and the difference in individual subjective feelings makes the deviation of the individual's sense of hearing large, and it is difficult to evaluate the effect of echo cancellation objectively and accurately

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